---
title: Scrape Element From Website Tool
description: The `ScrapeElementFromWebsiteTool` enables CrewAI agents to extract specific elements from websites using CSS selectors.
icon: code
mode: "wide"
---

# `ScrapeElementFromWebsiteTool`

## Description

The `ScrapeElementFromWebsiteTool` is designed to extract specific elements from websites using CSS selectors. This tool allows CrewAI agents to scrape targeted content from web pages, making it useful for data extraction tasks where only specific parts of a webpage are needed.

## Installation

To use this tool, you need to install the required dependencies:

```shell
uv add requests beautifulsoup4
```

## Steps to Get Started

To effectively use the `ScrapeElementFromWebsiteTool`, follow these steps:

1. **Install Dependencies**: Install the required packages using the command above.
2. **Identify CSS Selectors**: Determine the CSS selectors for the elements you want to extract from the website.
3. **Initialize the Tool**: Create an instance of the tool with the necessary parameters.

## Example

The following example demonstrates how to use the `ScrapeElementFromWebsiteTool` to extract specific elements from a website:

```python Code
from crewai import Agent, Task, Crew
from crewai_tools import ScrapeElementFromWebsiteTool

# Initialize the tool
scrape_tool = ScrapeElementFromWebsiteTool()

# Define an agent that uses the tool
web_scraper_agent = Agent(
    role="Web Scraper",
    goal="Extract specific information from websites",
    backstory="An expert in web scraping who can extract targeted content from web pages.",
    tools=[scrape_tool],
    verbose=True,
)

# Example task to extract headlines from a news website
scrape_task = Task(
    description="Extract the main headlines from the CNN homepage. Use the CSS selector '.headline' to target the headline elements.",
    expected_output="A list of the main headlines from CNN.",
    agent=web_scraper_agent,
)

# Create and run the crew
crew = Crew(agents=[web_scraper_agent], tasks=[scrape_task])
result = crew.kickoff()
```

You can also initialize the tool with predefined parameters:

```python Code
# Initialize the tool with predefined parameters
scrape_tool = ScrapeElementFromWebsiteTool(
    website_url="https://www.example.com",
    css_element=".main-content"
)
```

## Parameters

The `ScrapeElementFromWebsiteTool` accepts the following parameters during initialization:

- **website_url**: Optional. The URL of the website to scrape. If provided during initialization, the agent won't need to specify it when using the tool.
- **css_element**: Optional. The CSS selector for the elements to extract. If provided during initialization, the agent won't need to specify it when using the tool.
- **cookies**: Optional. A dictionary containing cookies to be sent with the request. This can be useful for websites that require authentication.

## Usage

When using the `ScrapeElementFromWebsiteTool` with an agent, the agent will need to provide the following parameters (unless they were specified during initialization):

- **website_url**: The URL of the website to scrape.
- **css_element**: The CSS selector for the elements to extract.

The tool will return the text content of all elements matching the CSS selector, joined by newlines.

```python Code
# Example of using the tool with an agent
web_scraper_agent = Agent(
    role="Web Scraper",
    goal="Extract specific elements from websites",
    backstory="An expert in web scraping who can extract targeted content using CSS selectors.",
    tools=[scrape_tool],
    verbose=True,
)

# Create a task for the agent to extract specific elements
extract_task = Task(
    description="""
    Extract all product titles from the featured products section on example.com.
    Use the CSS selector '.product-title' to target the title elements.
    """,
    expected_output="A list of product titles from the website",
    agent=web_scraper_agent,
)

# Run the task through a crew
crew = Crew(agents=[web_scraper_agent], tasks=[extract_task])
result = crew.kickoff()
```

## Implementation Details

The `ScrapeElementFromWebsiteTool` uses the `requests` library to fetch the web page and `BeautifulSoup` to parse the HTML and extract the specified elements:

```python Code
class ScrapeElementFromWebsiteTool(BaseTool):
    name: str = "Read a website content"
    description: str = "A tool that can be used to read a website content."
    
    # Implementation details...
    
    def _run(self, **kwargs: Any) -> Any:
        website_url = kwargs.get("website_url", self.website_url)
        css_element = kwargs.get("css_element", self.css_element)
        page = requests.get(
            website_url,
            headers=self.headers,
            cookies=self.cookies if self.cookies else {},
        )
        parsed = BeautifulSoup(page.content, "html.parser")
        elements = parsed.select(css_element)
        return "\n".join([element.get_text() for element in elements])
```

## Conclusion

The `ScrapeElementFromWebsiteTool` provides a powerful way to extract specific elements from websites using CSS selectors. By enabling agents to target only the content they need, it makes web scraping tasks more efficient and focused. This tool is particularly useful for data extraction, content monitoring, and research tasks where specific information needs to be extracted from web pages. 